Win the Customer

DECEMBER 13, 2023

In recent years, the integration of Artificial Intelligence (AI) in customer experience has revolutionized how businesses interact with their clientele. From personalized recommendations to predictive analytics, AI has reshaped the landscape, generating both winners and losers in this evolving domain.

AI 69

AI Artificial Intelligence Customer Experience Predictive Analytics 69

Logicalware

JULY 26, 2023

Artificial Intelligence (AI) has transformed contact centres, improving customer experiences and operational efficiency. However, it’s important to recognise that AI is an umbrella term encompassing various subfields and techniques. What is Artificial Intelligence (AI)?

Artificial Intelligence 52

Artificial Intelligence AI Sentiment Analysis Machine Learning 52

SugarCRM

OCTOBER 17, 2023

AI technology has revolutionized the way organizations carry business worldwide. Most AI applications, however, revolve around facilitating sales and marketing operations. Companies that flirt with generative AI experience higher customer satisfaction, productivity, and overall growth rates.

AI 26

AI Predictive Analytics Legal Social Media 26

Hodusoft

OCTOBER 19, 2023

Technology integration can further assist in reducing costs in your contact center- Automation Tools: Implementing automation tools like Chatbots, virtual agents, and AI-powered systems in contact centers helps in the efficient management of routine and repetitive tasks. It is equally important to forecast future costs.

Contact Center 52

Contact Center Predictive Analytics Non-Profits Customer Satisfaction 52

Execs In The Know

OCTOBER 15, 2023

In today’s fiercely competitive business landscape, the ability to operationalize Artificial Intelligence (AI) into an organization is imperative. AI can automate activities, offer highly tailored customer interactions, and provide important insights.

AI 52

AI Artificial Intelligence CX Compliance 52

SugarCRM

NOVEMBER 16, 2023

Solid CRM solutions should help you align and compile data from multiple sources: Marketing , Sales , Support , Finance, and Legal. For example, by compiling internal sales data with market information, predictive AI models can indicate market trends and risks. How does this help your organization overall?

Business Growth 26

Business Growth CRM Artificial Intelligence Invoicing 26

Qualtrics

FEBRUARY 26, 2019

That’s the behavioral aspect of analytics. The predictive analytics tell you “who” to target, but the behavioral data tells you “when” to target them. How do you go from predictive to prescriptive? How can we best leverage AI/machine learning to deliver real-time insights and triggers? I love that.

Non-Profits 37

Non-Profits Customer Experience B2C B2B 37